• Extreme flooding controlled by stream network organization and flow regime 

      Basso, Stefano; Merz, Ralf; Tarasova, Larisa; Miniussi, Arianna (Peer reviewed; Journal article, 2023)
      River floods are among the most common natural disasters worldwide, with substantial economic and humanitarian costs. Despite enormous efforts, gauging the risk of extreme floods with unprecedented magnitude is an outstanding ...
    • Identifying discontinuities of flood frequency curves 

      Miniussi, Arianna; Merz, Ralf; Kaule, Lisa; Basso, Stefano (Peer reviewed; Journal article, 2023)
      Discontinuities in flood frequency curves, here referred to as flood divides, hinder the estimation of rare floods. In this paper we develop an automated methodology for the detection of flood divides from observations and ...
    • Inferring heavy tails of flood distributions through hydrograph recession analysis 

      Wang, Hsing-Jui; Merz, Ralf; Yang, Soohyun; Basso, Stefano (Peer reviewed; Journal article, 2023)
      Floods are often disastrous due to underestimation of the magnitude of rare events. Underestimation commonly happens when the magnitudes of floods follow a heavy-tailed distribution, but this behavior is not recognized and ...
    • Prediction of Extraordinarily High Floods Emerging From Heterogeneous Flow Generation Processes 

      Mushtaq, Sumra; Miniussi, Arianna; Merz, Ralf; Tarasova, Larisa; Marra, Francesco; Basso, Stefano (Peer reviewed; Journal article, 2023)
      River floods are generated by various processes that, if disregarded, may induce errors in flood hazard assessment. This is particularly relevant where events extraordinarily larger than the typical floods have been observed, ...
    • Shifts in flood generation processes exacerbate regional flood anomalies in Europe 

      Tarasova, Larisa; Lun, David; Merz, Ralf; Blöschl, Günter; Basso, Stefano; Bertola, Miriam; Miniussi, Arianna; Rakovec, Oldrich; Samaniego, Luis; Thober, Stephan; Kumar, Rohini (Peer reviewed; Journal article, 2023)
      Anomalies in the frequency of river floods, i.e., flood-rich or -poor periods, cause biases in flood risk estimates and thus make climate adaptation measures less efficient. While observations have recently confirmed the ...